Machine learning-enabled electronic noses and electronic tongues A new paradigm for markers detection
DOI:
https://doi.org/10.66535/761h2729Keywords:
electronic nose and electronic tongue; Sensor; Machine learning; Marker detectionAbstract
With the rapid development of science and technology, artificial intelligence (AI) and machine learning (ML) have become the forefront of innovation. Electronic noses and tongues, which mimic human smell and taste perception, have great potential in fields such as environmental monitoring, food safety, medical diagnosis and quality control. However, the traditional electronic nose and tongue systems still face challenges due to the complexity of marker morphology and the limitations of sensors. Machine learning technology has also proven to be a valuable tool for improving traditional electronic nose and tongue technology. In this review, we introduce the principle and design of machine learning combined with electronic nose and tongue technology, analyze some recently published articles on machine learning-assisted electronic nose and tongue for marker detection, and review the practical application of machine learning technology in the field of electronic nose and tongue. It is believed that through continuous exploration and innovation, machine learning will promote the application of electronic nose and electronic tongue, realize intelligent monitoring and control, and provide help for human life and health.
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